Ming‐Chieh Shih

1.3k citations
52 papers · 761 indexed · h-index 16
Topics
Meta-analysis and systematic reviews (7 papers)Gastric Cancer Management and Outcomes (4 papers)Mental Health Research Topics (4 papers)

In The Last Decade

Ming‐Chieh Shih

47 papers receiving 748 citations

Peers

Ming‐Chieh Shih
Comparison fields: 5 of 126
  • Pulmonary and Respiratory Medicine 141
  • Surgery 121
  • Urology 117
  • Public Health, Environmental and Occupational Health 88
  • Epidemiology 77
Replace Ann‐Kathrin Ozga with:
Ann‐Kathrin Ozga Germany
Juanjuan Zhang China
Morteza Sanei Taheri Iran
Liang Shen United States
Harbans Singh India
Fanni Dembrovszky Hungary
Ramón Castillo United States
Naveen Kumar India
N. Bryce Robinson United States
Shreyas Gandhi Canada
Ming‐Chieh Shih relative to Ann‐Kathrin Ozga Germany Ann‐Kathrin Ozga's profile →
Citations per field
00.5×9.8×
Ann‐Kathrin Ozga · 1×
Citations per year

Countries citing papers authored by Ming‐Chieh Shih

Since Specialization
Citations

This map shows the geographic impact of Ming‐Chieh Shih's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming‐Chieh Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chieh Shih more than expected).

Fields of papers citing papers by Ming‐Chieh Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chieh Shih. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming‐Chieh Shih. The network helps show where Ming‐Chieh Shih may publish in the future.

Co-authorship network of co-authors of Ming‐Chieh Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chieh Shih. A scholar is included among the top collaborators of Ming‐Chieh Shih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Chieh Shih. Ming‐Chieh Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 31
5 6
6 14
7 23
8 18
9 14
10 20
11 116
12 29
13 0
14 1
15 13
16 15
17 84
18 4
19 17
20 19

About Ming‐Chieh Shih

Ming‐Chieh Shih is a scholar working on Statistics, Probability and Uncertainty, Critical Care and Intensive Care Medicine and Structural Biology, having authored 52 papers that have together received 761 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (7 papers), Gastric Cancer Management and Outcomes (4 papers) and Mental Health Research Topics (4 papers). The work is most often cited by research in Urology (117 citations), Oral Surgery (69 citations) and Nephrology (43 citations). Ming‐Chieh Shih has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yu‐Kang Tu, Kuo‐Liong Chien, Yijie Wang, Tzu‐Lin Yeh, Tze Leung Lai, Yi‐Chun Yeh, Chi‐Shin Tseng, Yeong‐Shiau Pu, Shi‐Wei Huang and Huei‐Kai Huang. Their work appears in journals such as Nature Communications, Applied Physics Letters and Journal of Applied Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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